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Título del libro: Gecco 2023 Companion - Proceedings Of The 2023 Genetic And Evolutionary Computation Conference Companion
Título del capítulo: Comparison of Three Versions of Whale Optimization Algorithm (WOA) on the bbob Test Suite

Autores UNAM:
KATYA RODRIGUEZ VAZQUEZ; CARLOS IGNACIO HERNANDEZ CASTELLANOS; SUEMI RODRIGUEZ ROMO;
Autores externos:

Idioma:

Año de publicación:
2023
Palabras clave:

Benchmarking; Evolutionary algorithms; Statistical tests; Benchmarking, black-box optimization; Black boxes; Black-box optimization; Data set; Differential Evolution; Normalisation; Optimization algorithms; Performance; Scaling factors; Symbiotics; Optimization


Resumen:

This paper benchmarks the canonical version of Whale Optimization Algorithm (WOA) with two recent adaptations: ?Enhanced WOA (E-WOA)? and ?modified Symbiotic organism search - Differential Evolution - WOA (m-SDWOA)? with the desire to research the improvement potential of the WOA. We also used Black-Box Differential Evolution with normalization of the scaling factor (BBDE-N), included in the data set of the bbob test suite, as a baseline to compare the performance. The results show that E-WOA and m-SDWOA improve significantly efficiency and the percentage of problems hit by WOA. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.


Entidades citadas de la UNAM: